1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 6 Casal2 model configurations (3 BetaDiff and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6).

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

  • one stock, ages 1 - 17
  • one area, although many characteristics are separated into “east” and “west”
  • years 1972 - 2018, projection years 2019 - 2023
  • five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
  • five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
  • five migration processes, which have age-specific proportions specified
  • sex-specific natural mortality-at-age is double exponential
  • area-specific von Bertalanffy age-length relationship
  • area-specific length-weight relationship (\(W = aL^b\))
  • area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
  • ageing error is specified
  • surveys with double normal selectivity
  • six area-specific fisheries with double normal selectivity

Observation data include:

  • survey indices
  • survey proportions-at-age
  • fishery proportions-at-age

Parameters estimated include:

  • area-specific B0
  • parameters for the natural mortality-at-age ogive
  • catchability (q) for the surveys
  • parameters for the selectivity curves for the surveys
  • parameters for the selectivity curves for the fisheries
  • migration proportions by age
  • area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Wed Dec  1 17:00:14 2021"
## R version 4.1.2 (2021-11-01)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux bookworm/sid
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.18.so
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_NZ.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] Casal2_21.10   casal_2.30     devtools_2.4.3 usethis_2.1.3  rlist_0.4.6.2 
##  [6] ggthemes_4.2.4 gridExtra_2.3  coda_0.19-4    ggmcmc_1.5.1.1 ggplot2_3.3.5 
## [11] tidyr_1.1.4    huxtable_5.4.0 dplyr_1.0.7    plyr_1.8.6    
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-45    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.28      utf8_1.2.2        
##  [9] R6_2.5.1           evaluate_0.14      pillar_1.6.4       rlang_0.4.12      
## [13] data.table_1.14.2  callr_3.7.0        jquerylib_0.1.4    rmarkdown_2.11    
## [17] desc_1.4.0         stringr_1.4.0      munsell_0.5.0      compiler_4.1.2    
## [21] xfun_0.28          pkgconfig_2.0.3    pkgbuild_1.2.1     htmltools_0.5.2   
## [25] tidyselect_1.1.1   tibble_3.1.6       reshape_0.8.8      fansi_0.5.0       
## [29] crayon_1.4.2       withr_2.4.3        grid_4.1.2         jsonlite_1.7.2    
## [33] GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.1    DBI_1.1.1         
## [37] magrittr_2.0.1     scales_1.1.1       cli_3.1.0          stringi_1.7.6     
## [41] cachem_1.0.6       fs_1.5.1           remotes_2.4.2      testthat_3.1.0    
## [45] bslib_0.3.1        ellipsis_0.3.2     generics_0.1.1     vctrs_0.3.8       
## [49] RColorBrewer_1.1-2 tools_4.1.2        glue_1.5.1         purrr_0.3.4       
## [53] processx_3.5.2     pkgload_1.2.4      fastmap_1.1.0      yaml_2.2.1        
## [57] colorspace_2.0-2   sessioninfo_1.2.1  memoise_2.0.1      knitr_1.36        
## [61] sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')
source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates
rownamesBase_ModelSensitivity_1Percent_Diff
q[CSacous].q               0.431200.431200.000
q[WCacous].q               0.300300.300200.033
q[CRsum].q               0.074310.074310.000
q[SAsum].q               0.059250.059250.000
q[SAaut].q               0.067170.067170.000
relative_abundance[CRsumbio].cv_process_error0.140500.140500.000
relative_abundance[SAsumbio].cv_process_error0.430600.430600.000
log_B0_total                 14.3400014.340000.000
B0_prop_stock1                 0.328700.328700.000
natural_mortality.all             0.296000.296000.000
selectivity[Wspsl].shift_a         -0.21740-0.217400.000
recruitment[E].YCS1            0.447800.447800.000
recruitment[E].YCS2            0.726800.726800.000
recruitment[E].YCS3            0.784500.784500.000
recruitment[E].YCS4            1.360001.360000.000
recruitment[E].YCS5            0.987700.98780-0.010
recruitment[E].YCS6            0.329300.329300.000
recruitment[E].YCS7            0.447200.447200.000
recruitment[E].YCS8            0.265600.265600.000
recruitment[E].YCS9            0.434200.434200.000
recruitment[E].YCS10           0.488000.488000.000
recruitment[E].YCS11           0.395700.395700.000
recruitment[E].YCS12           0.217900.217900.000
recruitment[E].YCS13           1.036001.036000.000
recruitment[E].YCS14           0.958900.958900.000
recruitment[E].YCS15           0.429000.429000.000
recruitment[E].YCS16           0.138100.138100.000
recruitment[E].YCS17           0.375000.375000.000
recruitment[E].YCS18           0.391700.391600.026
recruitment[E].YCS19           0.383100.383100.000
recruitment[E].YCS20           0.562900.562900.000
recruitment[E].YCS21           0.264000.264000.000
recruitment[E].YCS22           0.284500.284500.000
recruitment[E].YCS23           0.450000.450000.000
recruitment[E].YCS24           0.253100.253100.000
recruitment[E].YCS25           0.060000.060000.000
recruitment[E].YCS26           0.462200.462200.000
recruitment[E].YCS27           0.161600.161600.000
recruitment[E].YCS28           0.266900.266900.000
recruitment[E].YCS29           0.500400.500400.000
recruitment[E].YCS30           0.520000.520000.000
recruitment[E].YCS31           0.508800.508800.000
recruitment[E].YCS32           0.600600.600600.000
recruitment[E].YCS33           0.522100.522100.000
recruitment[E].YCS34           0.373000.373000.000
recruitment[E].YCS35           0.526800.526800.000
recruitment[E].YCS36           0.158600.158600.000
recruitment[E].YCS37           0.660600.660600.000
recruitment[E].YCS38           0.156000.156000.000
recruitment[E].YCS39           0.185800.185800.000
recruitment[E].YCS40           0.730600.730600.000
recruitment[E].YCS41           0.739100.739000.014
recruitment[E].YCS42           1.195001.195000.000
recruitment[W].YCS1            0.457000.457000.000
recruitment[W].YCS2            0.822200.822200.000
recruitment[W].YCS3            0.670000.670000.000
recruitment[W].YCS4            0.653900.653900.000
recruitment[W].YCS5            0.465900.465900.000
recruitment[W].YCS6            0.515100.515100.000
recruitment[W].YCS7            0.578200.578200.000
recruitment[W].YCS8            0.473300.473300.000
recruitment[W].YCS9            0.871900.871900.000
recruitment[W].YCS10           0.836400.83650-0.012
recruitment[W].YCS11           0.320200.320200.000
recruitment[W].YCS12           0.165000.165000.000
recruitment[W].YCS13           1.476001.476000.000
recruitment[W].YCS14           0.772700.77280-0.013
recruitment[W].YCS15           0.081350.081350.000
recruitment[W].YCS16           0.081580.081580.000
recruitment[W].YCS17           0.892800.892800.000
recruitment[W].YCS18           1.268001.268000.000
recruitment[W].YCS19           0.377200.377200.000
recruitment[W].YCS20           0.959400.959400.000
recruitment[W].YCS21           0.221100.221100.000
recruitment[W].YCS22           0.197200.197200.000
recruitment[W].YCS23           0.237900.23800-0.042
recruitment[W].YCS24           0.202900.202900.000
recruitment[W].YCS25           0.060000.060000.000
recruitment[W].YCS26           0.373000.373000.000
recruitment[W].YCS27           0.095480.095480.000
recruitment[W].YCS28           0.795600.795600.000
recruitment[W].YCS29           0.465200.465200.000
recruitment[W].YCS30           0.516600.516600.000
recruitment[W].YCS31           0.511300.511300.000
recruitment[W].YCS32           0.755400.755400.000
recruitment[W].YCS33           0.638900.638900.000
recruitment[W].YCS34           0.616900.616900.000
recruitment[W].YCS35           0.578400.578400.000
recruitment[W].YCS36           0.145500.145500.000
recruitment[W].YCS37           0.974800.974800.000
recruitment[W].YCS38           0.160200.160200.000
recruitment[W].YCS39           0.244400.244400.000
recruitment[W].YCS40           2.197002.197000.000
recruitment[W].YCS41           2.152002.152000.000
recruitment[W].YCS42           1.195001.195000.000
migration[Whome].rates_all1      0.327800.327800.000
migration[Whome].rates_all2      0.307800.307800.000
migration[Whome].rates_all3      0.476200.476200.000
migration[Whome].rates_all4      0.141800.141800.000
migration[Whome].rates_all5      0.468500.468400.021
migration[Whome].rates_all6      0.749800.75030-0.067
migration[Whome].rates_all7      0.794700.788400.793
migration[Whome].rates_all8      1.000001.000000.000
migration[Espmg].rates_all1      0.005660.005660.000
migration[Espmg].rates_all2      0.160200.160200.000
migration[Espmg].rates_all3      0.324100.324100.000
migration[Espmg].rates_all4      0.431200.431200.000
migration[Espmg].rates_all5      0.385500.385500.000
migration[Espmg].rates_all6      0.465400.465300.021
migration[Espmg].rates_all7      0.599000.599000.000
migration[Espmg].rates_all8      0.607800.607800.000
migration[Wspmg].rates_all1      0.106100.106100.000
migration[Wspmg].rates_all2      0.287700.287700.000
migration[Wspmg].rates_all3      0.270800.270800.000
migration[Wspmg].rates_all4      0.455300.455300.000
migration[Wspmg].rates_all5      0.484700.484700.000
migration[Wspmg].rates_all6      0.527100.527100.000
migration[Wspmg].rates_all7      0.660600.660600.000
migration[Wspmg].rates_all8      0.596300.596300.000
selectivity[Enspsl].all1            3.567003.567000.000
selectivity[Enspsl].all2            1.221001.221000.000
selectivity[Enspsl].all3            15.7100015.710000.000
selectivity[Wnspsl].all1            5.341005.341000.000
selectivity[Wnspsl].all2            2.839002.839000.000
selectivity[Wnspsl].all3            13.3800013.380000.000
selectivity[Espsl].all1            10.8800010.880000.000
selectivity[Espsl].all2            11.6800011.680000.000
selectivity[Espsl].all3            3.982003.982000.000
selectivity[CRsl].all1            1.000001.000000.000
selectivity[CRsl].all2            1.000001.000000.000
selectivity[CRsl].all3            9.300009.300000.000
selectivity[SAsl].all1            14.2500014.250000.000
selectivity[SAsl].all2            8.755008.75600-0.011
selectivity[SAsl].all3            1.315001.315000.000
Casal2 parameter estimates
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q                         0.427240.427860.431160.427860.427860.43116
catchability[WCacous].q                         0.312840.312440.300240.312440.312440.30024
catchability[CRsum].q                         0.068320.068110.074310.068110.068110.07431
catchability[SAsum].q                         0.067170.067060.059250.067060.067060.05925
catchability[SAaut].q                         0.075780.075630.067170.075630.075630.06717
observation[CRsumbio].process_error             0.140940.140890.140480.140890.140890.14048
observation[SAsumbio].process_error             0.423640.423810.430610.423810.423810.43061
parameter_transformation[log_sum_b0].log_total_parameter       14.3047014.3046014.3395014.3046014.3046014.33950
parameter_transformation[log_sum_b0].total_proportion_parameter0.336220.335710.328710.335710.335710.32871
process[Instant_mortality].m{west.sa}                       0.312710.312930.295980.312930.312930.29598
time_varying[shifted_mu].a                         -0.22921-0.22959-0.21744-0.22959-0.22959-0.21744
process[recruit_E].ycs_values{1975}          0.445370.445890.447820.445890.445890.44782
process[recruit_E].ycs_values{1976}          0.729390.730530.726800.730520.730520.72680
process[recruit_E].ycs_values{1977}          0.792310.793320.784540.793320.793320.78454
process[recruit_E].ycs_values{1978}          1.386451.388281.360011.388281.388271.36001
process[recruit_E].ycs_values{1979}          1.002651.003720.987761.003721.003720.98776
process[recruit_E].ycs_values{1980}          0.334370.334620.329320.334620.334620.32932
process[recruit_E].ycs_values{1981}          0.455020.455350.447230.455350.455350.44723
process[recruit_E].ycs_values{1982}          0.269750.269890.265560.269890.269890.26556
process[recruit_E].ycs_values{1983}          0.441060.441000.434180.441000.441000.43418
process[recruit_E].ycs_values{1984}          0.494120.494230.488040.494230.494230.48804
process[recruit_E].ycs_values{1985}          0.400100.400140.395700.400140.400140.39570
process[recruit_E].ycs_values{1986}          0.219780.219820.217910.219820.219820.21791
process[recruit_E].ycs_values{1987}          1.041311.040951.036401.040951.040951.03640
process[recruit_E].ycs_values{1988}          0.963450.963150.958910.963150.963150.95891
process[recruit_E].ycs_values{1989}          0.430950.431120.428990.431120.431120.42899
process[recruit_E].ycs_values{1990}          0.137970.137980.138100.137980.137980.13810
process[recruit_E].ycs_values{1991}          0.373850.373350.375000.373350.373350.37500
process[recruit_E].ycs_values{1992}          0.388580.387570.391640.387570.387570.39164
process[recruit_E].ycs_values{1993}          0.379950.379880.383100.379880.379880.38310
process[recruit_E].ycs_values{1994}          0.557940.557260.562850.557260.557260.56285
process[recruit_E].ycs_values{1995}          0.261780.261780.263990.261780.261780.26399
process[recruit_E].ycs_values{1996}          0.282510.282480.284470.282480.282480.28447
process[recruit_E].ycs_values{1997}          0.447810.447590.450030.447590.447590.45003
process[recruit_E].ycs_values{1998}          0.252640.252490.253070.252490.252490.25307
process[recruit_E].ycs_values{1999}          0.060000.060000.060000.060000.060000.06000
process[recruit_E].ycs_values{2000}          0.460130.459870.462200.459870.459870.46220
process[recruit_E].ycs_values{2001}          0.160860.160870.161650.160870.160870.16165
process[recruit_E].ycs_values{2002}          0.266110.265600.266890.265600.265600.26689
process[recruit_E].ycs_values{2003}          0.499590.499430.500380.499430.499430.50038
process[recruit_E].ycs_values{2004}          0.520530.520310.520030.520310.520310.52003
process[recruit_E].ycs_values{2005}          0.507640.507530.508820.507540.507540.50882
process[recruit_E].ycs_values{2006}          0.600130.599860.600550.599860.599860.60055
process[recruit_E].ycs_values{2007}          0.520870.520800.522150.520800.520800.52215
process[recruit_E].ycs_values{2008}          0.371150.370470.373000.370470.370470.37300
process[recruit_E].ycs_values{2009}          0.527900.527860.526810.527860.527860.52681
process[recruit_E].ycs_values{2010}          0.156950.156900.158640.156900.156900.15864
process[recruit_E].ycs_values{2011}          0.660470.660290.660580.660290.660290.66058
process[recruit_E].ycs_values{2012}          0.155540.155580.156000.155590.155580.15600
process[recruit_E].ycs_values{2013}          0.185180.185180.185840.185180.185180.18584
process[recruit_E].ycs_values{2014}          0.728440.728080.730620.728090.728080.73062
process[recruit_E].ycs_values{2015}          0.755870.752310.739000.752310.752310.73900
process[recruit_E].ycs_values{2016}          1.188861.189391.195151.189391.189391.19515
process[recruit_W].ycs_values{1975}          0.458690.458720.457020.458720.458720.45702
process[recruit_W].ycs_values{1976}          0.814220.814330.822180.814330.814330.82218
process[recruit_W].ycs_values{1977}          0.685150.684940.670000.684940.684940.67000
process[recruit_W].ycs_values{1978}          0.669370.669050.653900.669050.669050.65390
process[recruit_W].ycs_values{1979}          0.473070.472750.465900.472760.472750.46590
process[recruit_W].ycs_values{1980}          0.520640.520520.515120.520520.520520.51512
process[recruit_W].ycs_values{1981}          0.583440.583280.578240.583280.583280.57824
process[recruit_W].ycs_values{1982}          0.474630.474400.473280.474400.474400.47328
process[recruit_W].ycs_values{1983}          0.873090.873750.871920.873750.873750.87192
process[recruit_W].ycs_values{1984}          0.836330.837380.836460.837380.837380.83646
process[recruit_W].ycs_values{1985}          0.319420.319750.320240.319750.319750.32024
process[recruit_W].ycs_values{1986}          0.164930.164840.164970.164840.164840.16497
process[recruit_W].ycs_values{1987}          1.480071.480661.475551.480651.480661.47555
process[recruit_W].ycs_values{1988}          0.774540.775300.772760.775300.775300.77276
process[recruit_W].ycs_values{1989}          0.081480.081470.081340.081470.081470.08134
process[recruit_W].ycs_values{1990}          0.081830.081800.081580.081800.081800.08158
process[recruit_W].ycs_values{1991}          0.891970.891890.892800.891890.891890.89280
process[recruit_W].ycs_values{1992}          1.267581.267831.267781.267831.267831.26778
process[recruit_W].ycs_values{1993}          0.376520.376480.377220.376480.376480.37722
process[recruit_W].ycs_values{1994}          0.955790.955570.959390.955570.955570.95939
process[recruit_W].ycs_values{1995}          0.220270.220150.221130.220150.220150.22113
process[recruit_W].ycs_values{1996}          0.196320.196260.197180.196260.196260.19718
process[recruit_W].ycs_values{1997}          0.236430.236780.237950.236780.236780.23795
process[recruit_W].ycs_values{1998}          0.200410.200610.202920.200610.200610.20292
process[recruit_W].ycs_values{1999}          0.060000.060000.060000.060000.060000.06000
process[recruit_W].ycs_values{2000}          0.370890.371330.373040.371330.371330.37304
process[recruit_W].ycs_values{2001}          0.095060.095100.095480.095100.095100.09548
process[recruit_W].ycs_values{2002}          0.795530.795760.795580.795760.795760.79558
process[recruit_W].ycs_values{2003}          0.465700.465880.465170.465880.465880.46517
process[recruit_W].ycs_values{2004}          0.517610.517840.516620.517840.517840.51662
process[recruit_W].ycs_values{2005}          0.513050.513140.511260.513140.513140.51126
process[recruit_W].ycs_values{2006}          0.754750.754870.755440.754870.754870.75544
process[recruit_W].ycs_values{2007}          0.636920.636760.638910.636760.636760.63891
process[recruit_W].ycs_values{2008}          0.615640.616140.616860.616140.616140.61686
process[recruit_W].ycs_values{2009}          0.573050.572920.578410.572920.572920.57841
process[recruit_W].ycs_values{2010}          0.146180.146260.145470.146260.146260.14547
process[recruit_W].ycs_values{2011}          0.967080.966690.974780.966690.966690.97478
process[recruit_W].ycs_values{2012}          0.159090.158970.160160.158970.158970.16016
process[recruit_W].ycs_values{2013}          0.244020.243890.244440.243890.243890.24444
process[recruit_W].ycs_values{2014}          2.186512.184742.196572.184742.184742.19657
process[recruit_W].ycs_values{2015}          2.147582.149692.152042.149692.149692.15204
process[recruit_W].ycs_values{2016}          1.189091.189621.195391.189621.189621.19539
selectivity[sel_Whome].v{1}                      0.321930.321360.327830.321360.321360.32783
selectivity[sel_Whome].v{2}                      0.284910.283860.307780.283860.283860.30778
selectivity[sel_Whome].v{3}                      0.459720.457750.476200.457750.457750.47620
selectivity[sel_Whome].v{4}                      0.135490.135020.141840.135020.135020.14184
selectivity[sel_Whome].v{5}                      0.437820.431690.468360.431690.431690.46836
selectivity[sel_Whome].v{6}                      0.708220.718910.750260.718910.718910.75026
selectivity[sel_Whome].v{7}                      0.999890.759580.788410.759640.759610.78841
selectivity[sel_Espmg].v{1}                      0.005640.005640.005660.005640.005640.00566
selectivity[sel_Espmg].v{2}                      0.159120.159010.160210.159010.159010.16021
selectivity[sel_Espmg].v{3}                      0.320820.320560.324110.320560.320560.32411
selectivity[sel_Espmg].v{4}                      0.425470.425130.431230.425130.425130.43123
selectivity[sel_Espmg].v{5}                      0.379530.379270.385460.379270.379270.38546
selectivity[sel_Espmg].v{6}                      0.458760.458470.465350.458480.458470.46535
selectivity[sel_Espmg].v{7}                      0.590810.590440.599020.590440.590440.59902
selectivity[sel_Espmg].v{8}                      0.611000.610640.607780.610640.610640.60778
selectivity[sel_Wspmg].v{1}                      0.105560.105530.106140.105530.105530.10614
selectivity[sel_Wspmg].v{2}                      0.291360.291390.287740.291390.291390.28774
selectivity[sel_Wspmg].v{3}                      0.270680.270660.270760.270660.270660.27076
selectivity[sel_Wspmg].v{4}                      0.455270.455200.455250.455200.455200.45525
selectivity[sel_Wspmg].v{5}                      0.484210.484340.484660.484340.484340.48466
selectivity[sel_Wspmg].v{6}                      0.524960.523980.527110.523980.523980.52711
selectivity[sel_Wspmg].v{7}                      0.652980.655910.660620.655910.655910.66062
selectivity[sel_Wspmg].v{8}                      0.601530.601010.596270.601010.601010.59627
selectivity[Enspsl].mu                        3.573183.572273.567163.572273.572273.56716
selectivity[Enspsl].sigma_l                   1.222451.222061.221081.222061.222061.22108
selectivity[Enspsl].sigma_r                   50.0000050.0000015.7137049.9999050.0000015.71370
selectivity[Wnspsl].mu                        5.328405.329525.341175.329525.329525.34117
selectivity[Wnspsl].sigma_l                   2.778152.778462.839342.778462.778462.83934
selectivity[Wnspsl].sigma_r                   49.9997049.9998013.3789049.9998049.9994013.37890
selectivity[Espsl].mu                        11.2567011.2547010.8788011.2547011.2547010.87880
selectivity[Espsl].sigma_l                   10.8674010.8594011.6775010.8594010.8594011.67750
selectivity[Espsl].sigma_r                   4.026254.029123.981654.029124.029123.98165
selectivity[CRsl].mu                        1.000001.000001.000001.000001.000001.00000
selectivity[CRsl].sigma_l                   46.5222046.5221046.0231046.5218046.5222046.02310
selectivity[CRsl].sigma_r                   10.0928010.087809.3004210.0878010.087809.30042
selectivity[SAsl].mu                        14.8685014.8648014.2523014.8648014.8648014.25230
selectivity[SAsl].sigma_l                   8.694688.692818.755588.692818.692818.75558
selectivity[SAsl].sigma_r                   1.000001.000001.315191.000001.000001.31519
Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q                         0.000-0.145-0.918-0.145-0.145-0.918
catchability[WCacous].q                         0.0000.1284.0270.1280.1284.027
catchability[CRsum].q                         0.0000.298-8.7650.2980.298-8.765
catchability[SAsum].q                         0.0000.17111.7970.1720.17211.797
catchability[SAaut].q                         0.0000.18811.3630.1880.18811.363
observation[CRsumbio].process_error             0.0000.0350.3280.0350.0350.328
observation[SAsumbio].process_error             0.000-0.040-1.645-0.040-0.040-1.645
parameter_transformation[log_sum_b0].log_total_parameter       0.0000.001-0.2430.0010.001-0.243
parameter_transformation[log_sum_b0].total_proportion_parameter0.0000.1512.2340.1510.1512.234
process[Instant_mortality].m{west.sa}                       0.000-0.0715.349-0.070-0.0705.349
time_varying[shifted_mu].a                         0.000-0.1665.135-0.166-0.1665.135
process[recruit_E].ycs_values{1975}          0.000-0.117-0.549-0.117-0.117-0.549
process[recruit_E].ycs_values{1976}          0.000-0.1560.355-0.155-0.1550.355
process[recruit_E].ycs_values{1977}          0.000-0.1270.981-0.128-0.1280.981
process[recruit_E].ycs_values{1978}          0.000-0.1321.907-0.132-0.1311.907
process[recruit_E].ycs_values{1979}          0.000-0.1071.485-0.107-0.1071.485
process[recruit_E].ycs_values{1980}          0.000-0.0731.512-0.074-0.0731.512
process[recruit_E].ycs_values{1981}          0.000-0.0721.712-0.072-0.0721.712
process[recruit_E].ycs_values{1982}          0.000-0.0551.551-0.055-0.0551.551
process[recruit_E].ycs_values{1983}          0.0000.0131.5590.0130.0131.559
process[recruit_E].ycs_values{1984}          0.000-0.0221.229-0.022-0.0221.229
process[recruit_E].ycs_values{1985}          0.000-0.0091.102-0.009-0.0091.102
process[recruit_E].ycs_values{1986}          0.000-0.0220.850-0.022-0.0220.850
process[recruit_E].ycs_values{1987}          0.0000.0350.4720.0350.0350.472
process[recruit_E].ycs_values{1988}          0.0000.0320.4710.0310.0320.471
process[recruit_E].ycs_values{1989}          0.000-0.0400.455-0.040-0.0400.455
process[recruit_E].ycs_values{1990}          0.000-0.009-0.101-0.009-0.009-0.101
process[recruit_E].ycs_values{1991}          0.0000.135-0.3070.1350.135-0.307
process[recruit_E].ycs_values{1992}          0.0000.260-0.7870.2600.260-0.787
process[recruit_E].ycs_values{1993}          0.0000.017-0.8310.0160.016-0.831
process[recruit_E].ycs_values{1994}          0.0000.123-0.8790.1230.123-0.879
process[recruit_E].ycs_values{1995}          0.000-0.001-0.843-0.002-0.002-0.843
process[recruit_E].ycs_values{1996}          0.0000.008-0.6950.0080.008-0.695
process[recruit_E].ycs_values{1997}          0.0000.049-0.4960.0490.049-0.496
process[recruit_E].ycs_values{1998}          0.0000.061-0.1700.0610.061-0.170
process[recruit_E].ycs_values{1999}          0.0000.0000.0000.0000.0000.000
process[recruit_E].ycs_values{2000}          0.0000.057-0.4490.0570.057-0.449
process[recruit_E].ycs_values{2001}          0.000-0.007-0.489-0.007-0.007-0.489
process[recruit_E].ycs_values{2002}          0.0000.191-0.2940.1910.191-0.294
process[recruit_E].ycs_values{2003}          0.0000.031-0.1590.0310.031-0.159
process[recruit_E].ycs_values{2004}          0.0000.0430.0960.0430.0430.096
process[recruit_E].ycs_values{2005}          0.0000.021-0.2330.0210.021-0.233
process[recruit_E].ycs_values{2006}          0.0000.046-0.0700.0460.046-0.070
process[recruit_E].ycs_values{2007}          0.0000.014-0.2450.0140.014-0.245
process[recruit_E].ycs_values{2008}          0.0000.184-0.5000.1840.184-0.500
process[recruit_E].ycs_values{2009}          0.0000.0070.2060.0070.0070.206
process[recruit_E].ycs_values{2010}          0.0000.032-1.0740.0320.032-1.074
process[recruit_E].ycs_values{2011}          0.0000.028-0.0170.0280.028-0.017
process[recruit_E].ycs_values{2012}          0.000-0.030-0.294-0.031-0.030-0.294
process[recruit_E].ycs_values{2013}          0.0000.002-0.3550.0020.002-0.355
process[recruit_E].ycs_values{2014}          0.0000.050-0.2990.0490.049-0.299
process[recruit_E].ycs_values{2015}          0.0000.4712.2310.4710.4712.231
process[recruit_E].ycs_values{2016}          0.000-0.045-0.529-0.045-0.045-0.529
process[recruit_W].ycs_values{1975}          0.000-0.0050.365-0.005-0.0050.365
process[recruit_W].ycs_values{1976}          0.000-0.014-0.977-0.014-0.014-0.977
process[recruit_W].ycs_values{1977}          0.0000.0312.2100.0300.0302.210
process[recruit_W].ycs_values{1978}          0.0000.0482.3120.0480.0482.312
process[recruit_W].ycs_values{1979}          0.0000.0681.5170.0670.0671.517
process[recruit_W].ycs_values{1980}          0.0000.0231.0610.0240.0231.061
process[recruit_W].ycs_values{1981}          0.0000.0270.8920.0270.0270.892
process[recruit_W].ycs_values{1982}          0.0000.0470.2840.0480.0470.284
process[recruit_W].ycs_values{1983}          0.000-0.0760.134-0.076-0.0760.134
process[recruit_W].ycs_values{1984}          0.000-0.125-0.016-0.125-0.125-0.016
process[recruit_W].ycs_values{1985}          0.000-0.104-0.257-0.103-0.103-0.257
process[recruit_W].ycs_values{1986}          0.0000.055-0.0210.0550.055-0.021
process[recruit_W].ycs_values{1987}          0.000-0.0400.305-0.039-0.0400.305
process[recruit_W].ycs_values{1988}          0.000-0.0990.229-0.098-0.0990.229
process[recruit_W].ycs_values{1989}          0.0000.0030.1600.0030.0030.160
process[recruit_W].ycs_values{1990}          0.0000.0370.3040.0370.0370.304
process[recruit_W].ycs_values{1991}          0.0000.009-0.0930.0090.009-0.093
process[recruit_W].ycs_values{1992}          0.000-0.020-0.016-0.020-0.020-0.016
process[recruit_W].ycs_values{1993}          0.0000.011-0.1850.0110.011-0.185
process[recruit_W].ycs_values{1994}          0.0000.023-0.3770.0230.023-0.377
process[recruit_W].ycs_values{1995}          0.0000.054-0.3910.0540.054-0.391
process[recruit_W].ycs_values{1996}          0.0000.028-0.4400.0280.028-0.440
process[recruit_W].ycs_values{1997}          0.000-0.147-0.643-0.147-0.147-0.643
process[recruit_W].ycs_values{1998}          0.000-0.099-1.251-0.099-0.099-1.251
process[recruit_W].ycs_values{1999}          0.0000.0000.0000.0000.0000.000
process[recruit_W].ycs_values{2000}          0.000-0.118-0.580-0.117-0.117-0.580
process[recruit_W].ycs_values{2001}          0.000-0.037-0.446-0.037-0.037-0.446
process[recruit_W].ycs_values{2002}          0.000-0.029-0.007-0.029-0.029-0.007
process[recruit_W].ycs_values{2003}          0.000-0.0390.114-0.039-0.0390.114
process[recruit_W].ycs_values{2004}          0.000-0.0440.191-0.045-0.0450.191
process[recruit_W].ycs_values{2005}          0.000-0.0170.350-0.016-0.0170.350
process[recruit_W].ycs_values{2006}          0.000-0.015-0.091-0.015-0.015-0.091
process[recruit_W].ycs_values{2007}          0.0000.026-0.3120.0260.026-0.312
process[recruit_W].ycs_values{2008}          0.000-0.080-0.198-0.080-0.080-0.198
process[recruit_W].ycs_values{2009}          0.0000.024-0.9340.0240.024-0.934
process[recruit_W].ycs_values{2010}          0.000-0.0560.483-0.055-0.0550.483
process[recruit_W].ycs_values{2011}          0.0000.041-0.7960.0410.041-0.796
process[recruit_W].ycs_values{2012}          0.0000.075-0.6740.0750.075-0.674
process[recruit_W].ycs_values{2013}          0.0000.052-0.1720.0520.052-0.172
process[recruit_W].ycs_values{2014}          0.0000.081-0.4600.0810.081-0.460
process[recruit_W].ycs_values{2015}          0.000-0.098-0.208-0.098-0.098-0.208
process[recruit_W].ycs_values{2016}          0.000-0.045-0.530-0.045-0.045-0.530
selectivity[sel_Whome].v{1}                      0.0000.177-1.8330.1770.177-1.833
selectivity[sel_Whome].v{2}                      0.0000.370-8.0270.3700.370-8.027
selectivity[sel_Whome].v{3}                      0.0000.430-3.5840.4290.429-3.584
selectivity[sel_Whome].v{4}                      0.0000.346-4.6870.3440.344-4.687
selectivity[sel_Whome].v{5}                      0.0001.401-6.9751.4001.400-6.975
selectivity[sel_Whome].v{6}                      0.000-1.510-5.937-1.510-1.510-5.937
selectivity[sel_Whome].v{7}                      0.00024.03421.15024.02824.03121.150
selectivity[sel_Espmg].v{1}                      0.0000.080-0.3320.0800.080-0.332
selectivity[sel_Espmg].v{2}                      0.0000.073-0.6830.0730.073-0.683
selectivity[sel_Espmg].v{3}                      0.0000.078-1.0280.0780.078-1.028
selectivity[sel_Espmg].v{4}                      0.0000.079-1.3540.0790.079-1.354
selectivity[sel_Espmg].v{5}                      0.0000.069-1.5630.0690.069-1.563
selectivity[sel_Espmg].v{6}                      0.0000.063-1.4360.0630.063-1.436
selectivity[sel_Espmg].v{7}                      0.0000.062-1.3890.0620.062-1.389
selectivity[sel_Espmg].v{8}                      0.0000.0600.5280.0600.0600.528
selectivity[sel_Wspmg].v{1}                      0.0000.033-0.5520.0330.033-0.552
selectivity[sel_Wspmg].v{2}                      0.000-0.0101.242-0.010-0.0101.242
selectivity[sel_Wspmg].v{3}                      0.0000.008-0.0290.0080.008-0.029
selectivity[sel_Wspmg].v{4}                      0.0000.0170.0040.0170.0170.004
selectivity[sel_Wspmg].v{5}                      0.000-0.026-0.092-0.026-0.026-0.092
selectivity[sel_Wspmg].v{6}                      0.0000.187-0.4090.1870.187-0.409
selectivity[sel_Wspmg].v{7}                      0.000-0.449-1.171-0.449-0.449-1.171
selectivity[sel_Wspmg].v{8}                      0.0000.0870.8750.0870.0870.875
selectivity[Enspsl].mu                        0.0000.0250.1680.0250.0250.168
selectivity[Enspsl].sigma_l                   0.0000.0320.1120.0320.0320.112
selectivity[Enspsl].sigma_r                   0.0000.00068.5730.0000.00068.573
selectivity[Wnspsl].mu                        0.000-0.021-0.240-0.021-0.021-0.240
selectivity[Wnspsl].sigma_l                   0.000-0.011-2.203-0.011-0.011-2.203
selectivity[Wnspsl].sigma_r                   0.000-0.00073.242-0.0000.00173.242
selectivity[Espsl].mu                        0.0000.0183.3570.0180.0183.357
selectivity[Espsl].sigma_l                   0.0000.074-7.4540.0740.074-7.454
selectivity[Espsl].sigma_r                   0.000-0.0711.108-0.071-0.0711.108
selectivity[CRsl].mu                        0.0000.0000.0000.0000.0000.000
selectivity[CRsl].sigma_l                   0.0000.0001.0730.0010.0001.073
selectivity[CRsl].sigma_r                   0.0000.0507.8510.0500.0507.851
selectivity[SAsl].mu                        0.0000.0254.1440.0250.0254.144
selectivity[SAsl].sigma_l                   0.0000.022-0.7000.0220.022-0.700
selectivity[SAsl].sigma_r                   0.0000.000-31.5190.0000.000-31.519

CASAL objective function component values
ComponentBase_ModelSensitivity_1
CRsumbio-31.030-31.030
CSacous-9.835-9.836
SAautbio-3.984-3.984
SAsumbio-6.146-6.146
WCacous-5.916-5.916
CRsumage323.800323.800
SAautage35.12035.120
SAsumage221.100221.100
EnspOLF24.28024.280
Enspage256.100256.100
Espage581.500581.500
WnspOLF70.25070.250
Wnspage157.000157.000
Wspage364.800364.800
pspawn-13.130-13.130
pspawn_1993-6.015-6.015
prior_on_q[CSacous].q-0.839-0.839
prior_on_q[WCacous].q-1.202-1.202
prior_on_q[CRsum].q-2.207-2.207
prior_on_q[SAsum].q-1.557-1.557
prior_on_q[SAaut].q-1.762-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error0.0000.000
prior_on_relative_abundance[SAsumbio].cv_process_error0.0000.000
prior_on_log_B0_total0.0000.000
prior_on_B0_prop_stock112.56012.560
prior_on_natural_mortality.all-1.217-1.217
prior_on_selectivity[Wspsl].shift_a0.3780.378
prior_on_recruitment[E].YCS-13.750-13.750
prior_on_recruitment[W].YCS-1.785-1.785
prior_on_migration[Whome].rates_all0.0000.000
prior_on_migration[Espmg].rates_all0.0000.000
prior_on_migration[Wspmg].rates_all0.0000.000
prior_on_selectivity[Enspsl].all0.0000.000
prior_on_selectivity[Wnspsl].all0.0000.000
prior_on_selectivity[Espsl].all0.0000.000
prior_on_selectivity[CRsl].all0.0000.000
prior_on_selectivity[SAsl].all0.0000.000
Umax_Ensp10.0000.000
Umax_Ensp20.0000.000
Umax_Wnsp10.0000.000
Umax_Wnsp20.0000.000
Umax_Esp0.0000.000
Umax_Wsp0.0000.000
YCS.eq.160.0000.000
sp.migr0.0130.013
Total1947.0001947.000
Casal2 objective function component values
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
observation->CSacousbio-1991                           2.3422.3442.4042.3442.3442.404
observation->CSacousbio-1993                           -0.577-0.577-0.588-0.577-0.577-0.588
observation->CSacousbio-1994                           -0.016-0.016-0.030-0.016-0.016-0.030
observation->CSacousbio-1995                           -0.562-0.562-0.567-0.562-0.562-0.567
observation->CSacousbio-1996                           -0.027-0.0270.013-0.027-0.0270.013
observation->CSacousbio-1997                           -0.912-0.912-0.899-0.912-0.912-0.899
observation->CSacousbio-1998                           -0.054-0.055-0.004-0.055-0.055-0.004
observation->CSacousbio-1999                           -1.025-1.025-1.012-1.025-1.025-1.012
observation->CSacousbio-2001                           -1.217-1.217-1.211-1.217-1.217-1.211
observation->CSacousbio-2002                           -0.297-0.297-0.338-0.297-0.297-0.338
observation->CSacousbio-2003                           -0.845-0.845-0.863-0.845-0.845-0.863
observation->CSacousbio-2005                           -0.929-0.929-0.927-0.929-0.929-0.927
observation->CSacousbio-2006                           -0.939-0.939-0.950-0.939-0.939-0.950
observation->CSacousbio-2007                           -0.623-0.623-0.600-0.623-0.623-0.600
observation->CSacousbio-2008                           -1.094-1.094-1.125-1.094-1.094-1.125
observation->CSacousbio-2009                           -0.185-0.186-0.110-0.186-0.186-0.110
observation->CSacousbio-2011                           -1.021-1.021-1.000-1.021-1.021-1.000
observation->CSacousbio-2013                           -0.892-0.892-0.855-0.892-0.892-0.855
observation->CSacousbio-2015                           -0.190-0.191-0.150-0.191-0.191-0.150
observation->CSacousbio-2017                           -1.020-1.020-1.021-1.020-1.020-1.021
observation->WCacousbio-1988                           -0.588-0.588-0.588-0.588-0.588-0.588
observation->WCacousbio-1989                           -0.183-0.184-0.168-0.184-0.184-0.168
observation->WCacousbio-1990                           -0.332-0.331-0.327-0.331-0.331-0.327
observation->WCacousbio-1991                           -0.425-0.425-0.425-0.425-0.425-0.425
observation->WCacousbio-1992                           -0.744-0.744-0.744-0.744-0.744-0.744
observation->WCacousbio-1993                           -0.369-0.371-0.374-0.371-0.371-0.374
observation->WCacousbio-1997                           -0.054-0.055-0.043-0.055-0.055-0.043
observation->WCacousbio-2000                           -1.265-1.264-1.272-1.264-1.264-1.272
observation->WCacousbio-2012                           -0.906-0.906-0.896-0.906-0.906-0.896
observation->WCacousbio-2013                           -1.079-1.079-1.079-1.079-1.079-1.079
observation->CRsumbio-1992                           -1.634-1.634-1.647-1.634-1.634-1.647
observation->CRsumbio-1993                           0.0400.0410.0430.0410.0410.043
observation->CRsumbio-1994                           -1.760-1.761-1.760-1.761-1.761-1.760
observation->CRsumbio-1995                           -1.425-1.431-1.406-1.431-1.431-1.406
observation->CRsumbio-1996                           -1.690-1.691-1.699-1.691-1.691-1.699
observation->CRsumbio-1997                           -0.607-0.609-0.635-0.609-0.609-0.635
observation->CRsumbio-1998                           -1.203-1.205-1.210-1.205-1.205-1.210
observation->CRsumbio-1999                           -0.953-0.950-0.919-0.950-0.950-0.919
observation->CRsumbio-2000                           -1.629-1.629-1.632-1.629-1.629-1.632
observation->CRsumbio-2001                           -1.773-1.773-1.775-1.773-1.773-1.775
observation->CRsumbio-2002                           -1.209-1.205-1.206-1.205-1.205-1.206
observation->CRsumbio-2003                           -1.749-1.748-1.744-1.748-1.748-1.744
observation->CRsumbio-2004                           -0.818-0.821-0.803-0.821-0.821-0.803
observation->CRsumbio-2005                           -1.471-1.470-1.477-1.470-1.470-1.477
observation->CRsumbio-2006                           -1.314-1.314-1.306-1.314-1.314-1.306
observation->CRsumbio-2007                           -0.727-0.726-0.756-0.726-0.726-0.756
observation->CRsumbio-2008                           -0.373-0.376-0.402-0.376-0.376-0.402
observation->CRsumbio-2009                           -0.586-0.587-0.559-0.587-0.587-0.559
observation->CRsumbio-2010                           -1.349-1.350-1.359-1.350-1.350-1.359
observation->CRsumbio-2011                           -1.096-1.094-1.105-1.094-1.094-1.105
observation->CRsumbio-2012                           -1.439-1.438-1.448-1.438-1.438-1.448
observation->CRsumbio-2013                           -1.494-1.494-1.491-1.494-1.494-1.491
observation->CRsumbio-2014                           -1.768-1.768-1.770-1.768-1.768-1.770
observation->CRsumbio-2016                           -1.410-1.411-1.411-1.411-1.411-1.411
observation->CRsumbio-2018                           -1.552-1.552-1.554-1.552-1.552-1.554
observation->SAsumbio-1992                           -0.597-0.596-0.588-0.596-0.596-0.588
observation->SAsumbio-1993                           -0.314-0.314-0.309-0.314-0.314-0.309
observation->SAsumbio-1994                           0.1960.1940.1860.1940.1940.186
observation->SAsumbio-2001                           -0.835-0.834-0.822-0.834-0.834-0.822
observation->SAsumbio-2002                           -0.794-0.794-0.777-0.794-0.794-0.777
observation->SAsumbio-2003                           -0.837-0.836-0.825-0.836-0.836-0.825
observation->SAsumbio-2004                           0.7320.7350.7340.7350.7350.734
observation->SAsumbio-2005                           -0.258-0.255-0.218-0.255-0.255-0.218
observation->SAsumbio-2006                           -0.600-0.598-0.558-0.598-0.598-0.558
observation->SAsumbio-2007                           0.6360.6370.6540.6370.6370.654
observation->SAsumbio-2008                           -0.461-0.463-0.462-0.463-0.463-0.462
observation->SAsumbio-2009                           -0.585-0.584-0.583-0.584-0.584-0.583
observation->SAsumbio-2010                           -0.143-0.146-0.147-0.146-0.146-0.147
observation->SAsumbio-2012                           -0.848-0.848-0.835-0.848-0.848-0.835
observation->SAsumbio-2013                           -0.797-0.796-0.786-0.796-0.796-0.786
observation->SAsumbio-2015                           -0.200-0.201-0.189-0.201-0.201-0.189
observation->SAsumbio-2017                           -0.638-0.638-0.620-0.638-0.638-0.620
observation->SAautbio-1992                           -1.459-1.460-1.450-1.460-1.460-1.450
observation->SAautbio-1996                           -1.233-1.232-1.250-1.232-1.232-1.250
observation->SAautbio-1998                           -1.308-1.306-1.284-1.306-1.306-1.284
observation->Espage-1988                           19.79319.79019.64019.79019.79019.640
observation->Espage-1989                           15.85815.85815.86215.85815.85815.862
observation->Espage-1990                           21.48821.48621.44621.48621.48621.446
observation->Espage-1991                           20.64120.64020.61220.64020.64020.612
observation->Espage-1992                           24.08924.09224.02024.09224.09224.020
observation->Espage-1993                           19.30519.30419.32819.30419.30419.328
observation->Espage-1994                           20.52820.52220.50320.52220.52220.503
observation->Espage-1995                           22.54122.53022.55922.53022.53022.559
observation->Espage-1996                           18.59018.59018.57718.59018.59018.577
observation->Espage-1997                           20.97420.97820.96420.97820.97820.964
observation->Espage-1998                           20.58720.57920.61120.57920.57920.611
observation->Espage-1999                           22.88622.87522.86222.87522.87522.862
observation->Espage-2000                           23.32123.32123.31423.32123.32123.314
observation->Espage-2001                           20.73520.73520.77320.73520.73520.773
observation->Espage-2002                           26.24826.24326.28726.24326.24326.287
observation->Espage-2003                           19.12019.11819.12019.11819.11819.120
observation->Espage-2004                           22.69222.69822.64222.69822.69822.642
observation->Espage-2005                           26.12226.12026.07026.12026.12026.070
observation->Espage-2006                           23.24223.24523.14923.24523.24523.149
observation->Espage-2007                           25.27425.27725.21025.27725.27725.210
observation->Espage-2008                           22.16722.16622.12922.16622.16622.129
observation->Espage-2009                           18.69118.69018.69018.69018.69018.690
observation->Espage-2010                           21.85521.85621.85021.85621.85621.850
observation->Espage-2014                           20.61620.61420.64820.61420.61420.648
observation->Espage-2015                           21.82321.82021.87021.82021.82021.870
observation->Espage-2016                           21.20421.20221.20421.20221.20221.204
observation->Espage-2017                           21.57521.57821.56321.57821.57821.563
observation->Wspage-1988                           15.72415.72915.75315.72915.72915.753
observation->Wspage-1989                           11.55511.55811.56611.55811.55811.566
observation->Wspage-1990                           11.75211.75011.79011.75011.75011.790
observation->Wspage-1991                           13.03613.03713.05113.03713.03713.051
observation->Wspage-1992                           10.17810.17910.17010.17910.17910.170
observation->Wspage-1993                           10.56910.57110.57910.57110.57110.579
observation->Wspage-1994                           9.9189.9189.9249.9189.9189.924
observation->Wspage-1995                           13.40313.39913.39613.39913.39913.396
observation->Wspage-1996                           11.84011.84111.84411.84111.84111.844
observation->Wspage-1997                           11.23011.23311.24311.23311.23311.243
observation->Wspage-1998                           11.76111.76111.76211.76111.76111.762
observation->Wspage-1999                           11.97511.97611.98111.97611.97611.981
observation->Wspage-2000                           11.25611.25611.26011.25611.25611.260
observation->Wspage-2001                           12.17912.18112.20112.18112.18112.201
observation->Wspage-2002                           9.7319.7329.7459.7329.7329.745
observation->Wspage-2003                           9.5559.5559.5569.5559.5559.556
observation->Wspage-2004                           14.34014.34214.30414.34214.34214.304
observation->Wspage-2005                           14.93214.93414.97714.93414.93414.977
observation->Wspage-2006                           13.81713.81713.87213.81713.81713.872
observation->Wspage-2007                           11.49811.50011.51611.50011.50011.516
observation->Wspage-2008                           12.19512.19612.19412.19612.19612.194
observation->Wspage-2009                           12.63112.63512.59412.63512.63512.594
observation->Wspage-2010                           11.31611.31711.29911.31711.31711.299
observation->Wspage-2011                           11.15411.15511.13711.15511.15511.137
observation->Wspage-2012                           11.86711.86611.86011.86611.86611.860
observation->Wspage-2013                           11.04111.04311.06511.04311.04311.065
observation->Wspage-2014                           12.94412.94412.94112.94412.94412.941
observation->Wspage-2015                           13.13413.13613.10113.13613.13613.101
observation->Wspage-2016                           14.27214.26814.27314.26814.26814.273
observation->Wspage-2017                           13.74513.74613.79713.74613.74613.797
observation->EnspOLF-1992                           4.3974.3964.3884.3964.3964.388
observation->EnspOLF-1994                           6.6476.6456.6786.6456.6456.678
observation->EnspOLF-1996                           7.8977.8997.9067.8997.8997.906
observation->EnspOLF-1998                           5.3015.3015.3035.3015.3015.303
observation->Enspage-1999                           14.33214.33114.28714.33114.33114.287
observation->Enspage-2000                           13.97513.97313.96013.97313.97313.960
observation->Enspage-2001                           13.97913.95913.92913.95913.95913.929
observation->Enspage-2002                           12.08112.08712.07812.08712.08712.078
observation->Enspage-2003                           9.7009.7029.7069.7029.7029.706
observation->Enspage-2004                           12.96612.97212.98612.97212.97212.986
observation->Enspage-2005                           11.01211.00911.00911.00911.00911.009
observation->Enspage-2006                           12.74112.74412.71212.74412.74412.712
observation->Enspage-2007                           11.06111.06011.05211.06011.06011.052
observation->Enspage-2008                           12.10412.10012.10112.10012.10012.101
observation->Enspage-2009                           10.05610.05510.05510.05510.05510.055
observation->Enspage-2010                           17.58117.57617.62717.57617.57617.627
observation->Enspage-2011                           13.39913.40213.41213.40213.40213.412
observation->Enspage-2012                           13.14913.14813.13413.14813.14813.134
observation->Enspage-2013                           16.69416.69016.65916.69016.69016.659
observation->Enspage-2014                           13.86913.86813.87013.86813.86813.870
observation->Enspage-2015                           12.76012.76412.77612.76412.76412.776
observation->Enspage-2016                           19.22419.22219.20319.22219.22219.203
observation->Enspage-2017                           15.56215.55215.51115.55215.55215.511
observation->WnspOLF-1992                           10.12210.12410.12910.12410.12410.129
observation->WnspOLF-1993                           9.0459.0478.9919.0479.0478.991
observation->WnspOLF-1994                           15.93015.93115.89215.93115.93115.892
observation->WnspOLF-1996                           9.7889.7849.7529.7849.7849.752
observation->WnspOLF-1999                           11.55311.55311.59311.55311.55311.593
observation->WnspOLF-2000                           13.81213.81713.89213.81713.81713.892
observation->Wnspage-2001                           8.0328.0367.9948.0368.0367.994
observation->Wnspage-2002                           8.7158.7148.7018.7148.7148.701
observation->Wnspage-2003                           10.47310.47310.50710.47310.47310.507
observation->Wnspage-2004                           7.1557.1547.1407.1547.1547.140
observation->Wnspage-2006                           9.5899.5909.5519.5909.5909.551
observation->Wnspage-2007                           10.86110.86010.82210.86010.86010.822
observation->Wnspage-2008                           12.42512.42212.43512.42212.42212.435
observation->Wnspage-2009                           14.71614.71914.79014.71914.71914.790
observation->Wnspage-2010                           11.40511.40511.37011.40511.40511.370
observation->Wnspage-2011                           11.26711.26511.27511.26511.26511.275
observation->Wnspage-2012                           10.45410.45310.46510.45310.45310.465
observation->Wnspage-2013                           13.63313.63413.63413.63413.63413.634
observation->Wnspage-2014                           12.60812.60912.59712.60912.60912.597
observation->Wnspage-2016                           15.68715.68315.72215.68315.68315.722
observation->CRsumage-1992                           15.58415.57015.56615.57015.57015.566
observation->CRsumage-1993                           10.61610.61310.62410.61310.61310.624
observation->CRsumage-1994                           18.17018.17418.13018.17418.17418.130
observation->CRsumage-1995                           14.28514.28714.24214.28714.28714.242
observation->CRsumage-1996                           11.56711.56611.60711.56611.56611.607
observation->CRsumage-1997                           15.75415.75015.68815.75015.75015.688
observation->CRsumage-1998                           14.69014.68614.69014.68614.68614.690
observation->CRsumage-1999                           12.06112.06112.08412.06112.06112.084
observation->CRsumage-2000                           14.32314.32614.28314.32614.32614.283
observation->CRsumage-2001                           19.65919.65119.52019.65119.65119.520
observation->CRsumage-2002                           10.96910.97110.96010.97110.97110.960
observation->CRsumage-2003                           11.25111.25411.21011.25411.25411.210
observation->CRsumage-2004                           9.5539.5569.5619.5569.5569.561
observation->CRsumage-2005                           12.75312.74912.65412.74912.74912.654
observation->CRsumage-2006                           10.31610.31710.31710.31710.31710.317
observation->CRsumage-2007                           13.56213.56113.50413.56113.56113.504
observation->CRsumage-2008                           11.66111.66511.63911.66511.66511.639
observation->CRsumage-2009                           12.00612.00211.96512.00212.00211.965
observation->CRsumage-2010                           11.04811.05211.05511.05211.05211.055
observation->CRsumage-2011                           12.57912.57712.57112.57712.57712.571
observation->CRsumage-2012                           17.22817.23017.14117.23017.23017.141
observation->CRsumage-2013                           11.84311.84511.82211.84511.84511.822
observation->CRsumage-2014                           11.28611.28811.27111.28811.28811.271
observation->CRsumage-2016                           9.8669.8679.8479.8679.8679.847
observation->CRsumage-2018                           11.93111.93511.89511.93511.93511.895
observation->SAsumage-1992                           12.24612.24112.26912.24112.24112.269
observation->SAsumage-1993                           12.47012.48312.50212.48312.48312.502
observation->SAsumage-1994                           10.81110.80810.81810.80810.80810.818
observation->SAsumage-2001                           12.74912.76212.83912.76212.76212.839
observation->SAsumage-2002                           12.20912.21612.25412.21612.21612.254
observation->SAsumage-2003                           13.38613.38813.38613.38813.38813.386
observation->SAsumage-2004                           11.06711.06411.00411.06411.06411.004
observation->SAsumage-2005                           15.27815.28015.38615.28015.28015.386
observation->SAsumage-2006                           14.11214.11014.07814.11014.11014.078
observation->SAsumage-2007                           10.65010.64910.63910.64910.64910.639
observation->SAsumage-2008                           13.77113.76613.83613.76613.76613.836
observation->SAsumage-2009                           15.51315.52015.53015.52015.52015.530
observation->SAsumage-2010                           15.08115.08215.13015.08215.08215.130
observation->SAsumage-2012                           13.43713.43913.47913.43913.43913.479
observation->SAsumage-2013                           11.95411.95611.98211.95611.95611.982
observation->SAsumage-2015                           13.52213.52413.54013.52413.52413.540
observation->SAsumage-2017                           12.49212.48712.47812.48712.48712.478
observation->SAautage-1992                           11.80911.81911.85711.81911.81911.857
observation->SAautage-1996                           10.44910.45010.42610.45010.45010.426
observation->SAautage-1998                           12.80912.81012.83512.81012.81012.835
observation->pspawn_1993                           -6.017-6.016-6.015-6.016-6.016-6.015
observation->pspawn-1992                           -4.848-4.852-4.829-4.852-4.852-4.829
observation->pspawn-1998                           -8.284-8.291-8.300-8.291-8.291-8.300
prior->CSacousq->catchability[CSacous].q                         -0.849-0.847-0.839-0.847-0.847-0.839
prior->WCacousq->catchability[WCacous].q                         -1.162-1.163-1.202-1.163-1.163-1.202
prior->CRsumq->catchability[CRsum].q                         -2.155-2.153-2.207-2.153-2.153-2.207
prior->SAsumq->catchability[SAsum].q                         -1.762-1.760-1.557-1.760-1.760-1.557
prior->SAautq->catchability[SAaut].q                         -1.913-1.911-1.762-1.911-1.911-1.762
prior->CR_process_error->observation[CRsumbio].process_error             0.0000.0000.0000.0000.0000.000
prior->SA_process_error->observation[SAsumbio].process_error             0.0000.0000.0000.0000.0000.000
prior->B0_E_with_total_log_b0_prior->parameter_transformation[log_sum_b0].log_total_parameter       0.0000.0000.0000.0000.0000.000
prior->B0_W_with_proportion_prior->parameter_transformation[log_sum_b0].total_proportion_parameter12.54412.54512.55512.54512.54512.555
prior->M_all->process[Instant_mortality].m{west.sa}                       -1.085-1.083-1.217-1.083-1.083-1.217
prior->Wspsl_shift_param->time_varying[shifted_mu].a                         0.4200.4220.3780.4220.4220.378
prior->YCS_E->process[recruit_E].ycs_values{1975}          -0.624-0.624-0.623-0.624-0.624-0.623
prior->YCS_E->process[recruit_E].ycs_values{1976}          -0.316-0.314-0.319-0.314-0.314-0.319
prior->YCS_E->process[recruit_E].ycs_values{1977}          -0.227-0.225-0.238-0.225-0.225-0.238
prior->YCS_E->process[recruit_E].ycs_values{1978}          0.6540.6560.6150.6560.6560.615
prior->YCS_E->process[recruit_E].ycs_values{1979}          0.0840.0860.0620.0860.0860.062
prior->YCS_E->process[recruit_E].ycs_values{1980}          -0.630-0.630-0.627-0.630-0.630-0.627
prior->YCS_E->process[recruit_E].ycs_values{1981}          -0.619-0.619-0.623-0.619-0.619-0.623
prior->YCS_E->process[recruit_E].ycs_values{1982}          -0.550-0.551-0.542-0.551-0.551-0.542
prior->YCS_E->process[recruit_E].ycs_values{1983}          -0.627-0.627-0.630-0.627-0.627-0.630
prior->YCS_E->process[recruit_E].ycs_values{1984}          -0.591-0.591-0.596-0.591-0.591-0.596
prior->YCS_E->process[recruit_E].ycs_values{1985}          -0.641-0.641-0.642-0.641-0.641-0.642
prior->YCS_E->process[recruit_E].ycs_values{1986}          -0.408-0.408-0.400-0.408-0.408-0.400
prior->YCS_E->process[recruit_E].ycs_values{1987}          0.1420.1420.1350.1420.1420.135
prior->YCS_E->process[recruit_E].ycs_values{1988}          0.0260.0250.0190.0250.0250.019
prior->YCS_E->process[recruit_E].ycs_values{1989}          -0.631-0.631-0.632-0.631-0.631-0.632
prior->YCS_E->process[recruit_E].ycs_values{1990}          0.1590.1590.1580.1590.1590.158
prior->YCS_E->process[recruit_E].ycs_values{1991}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}          -0.530-0.531-0.525-0.531-0.531-0.525
prior->YCS_E->process[recruit_E].ycs_values{1995}          -0.534-0.534-0.538-0.534-0.534-0.538
prior->YCS_E->process[recruit_E].ycs_values{1996}          -0.574-0.573-0.577-0.573-0.573-0.577
prior->YCS_E->process[recruit_E].ycs_values{1997}          -0.623-0.623-0.622-0.623-0.623-0.622
prior->YCS_E->process[recruit_E].ycs_values{1998}          -0.512-0.511-0.513-0.511-0.511-0.513
prior->YCS_E->process[recruit_E].ycs_values{1999}          2.0142.0142.0142.0142.0142.014
prior->YCS_E->process[recruit_E].ycs_values{2000}          -0.616-0.616-0.614-0.616-0.616-0.614
prior->YCS_E->process[recruit_E].ycs_values{2001}          -0.065-0.065-0.071-0.065-0.065-0.071
prior->YCS_E->process[recruit_E].ycs_values{2002}          -0.543-0.542-0.545-0.542-0.542-0.545
prior->YCS_E->process[recruit_E].ycs_values{2003}          -0.586-0.586-0.585-0.586-0.586-0.585
prior->YCS_E->process[recruit_E].ycs_values{2004}          -0.568-0.568-0.568-0.568-0.568-0.568
prior->YCS_E->process[recruit_E].ycs_values{2005}          -0.579-0.579-0.578-0.579-0.579-0.578
prior->YCS_E->process[recruit_E].ycs_values{2006}          -0.483-0.483-0.482-0.483-0.483-0.482
prior->YCS_E->process[recruit_E].ycs_values{2007}          -0.567-0.567-0.566-0.567-0.567-0.566
prior->YCS_E->process[recruit_E].ycs_values{2008}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}          -0.561-0.561-0.562-0.561-0.561-0.562
prior->YCS_E->process[recruit_E].ycs_values{2010}          -0.031-0.031-0.046-0.031-0.031-0.046
prior->YCS_E->process[recruit_E].ycs_values{2011}          -0.408-0.408-0.408-0.408-0.408-0.408
prior->YCS_E->process[recruit_E].ycs_values{2012}          -0.019-0.019-0.023-0.019-0.019-0.023
prior->YCS_E->process[recruit_E].ycs_values{2013}          -0.238-0.238-0.242-0.238-0.238-0.242
prior->YCS_E->process[recruit_E].ycs_values{2014}          -0.317-0.317-0.314-0.317-0.317-0.314
prior->YCS_E->process[recruit_E].ycs_values{2015}          -0.279-0.284-0.302-0.284-0.284-0.302
prior->YCS_E->process[recruit_E].ycs_values{2016}          0.3630.3640.3730.3640.3640.373
prior->YCS_W->process[recruit_W].ycs_values{1975}          -0.616-0.616-0.617-0.616-0.616-0.617
prior->YCS_W->process[recruit_W].ycs_values{1976}          -0.195-0.195-0.184-0.195-0.195-0.184
prior->YCS_W->process[recruit_W].ycs_values{1977}          -0.376-0.376-0.396-0.376-0.376-0.396
prior->YCS_W->process[recruit_W].ycs_values{1978}          -0.396-0.397-0.417-0.397-0.397-0.417
prior->YCS_W->process[recruit_W].ycs_values{1979}          -0.607-0.607-0.612-0.607-0.607-0.612
prior->YCS_W->process[recruit_W].ycs_values{1980}          -0.567-0.568-0.573-0.568-0.568-0.573
prior->YCS_W->process[recruit_W].ycs_values{1981}          -0.502-0.502-0.508-0.502-0.502-0.508
prior->YCS_W->process[recruit_W].ycs_values{1982}          -0.606-0.606-0.607-0.606-0.606-0.607
prior->YCS_W->process[recruit_W].ycs_values{1983}          -0.109-0.108-0.111-0.108-0.108-0.111
prior->YCS_W->process[recruit_W].ycs_values{1984}          -0.163-0.161-0.163-0.161-0.161-0.163
prior->YCS_W->process[recruit_W].ycs_values{1985}          -0.619-0.619-0.620-0.619-0.619-0.620
prior->YCS_W->process[recruit_W].ycs_values{1986}          -0.098-0.097-0.098-0.097-0.097-0.098
prior->YCS_W->process[recruit_W].ycs_values{1987}          0.7880.7890.7820.7890.7890.782
prior->YCS_W->process[recruit_W].ycs_values{1988}          -0.252-0.251-0.255-0.251-0.251-0.255
prior->YCS_W->process[recruit_W].ycs_values{1989}          1.2071.2071.2111.2071.2071.211
prior->YCS_W->process[recruit_W].ycs_values{1990}          1.1971.1981.2041.1981.1981.204
prior->YCS_W->process[recruit_W].ycs_values{1991}          -0.081-0.081-0.080-0.081-0.081-0.080
prior->YCS_W->process[recruit_W].ycs_values{1992}          0.4800.4800.4800.4800.4800.480
prior->YCS_W->process[recruit_W].ycs_values{1993}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}          0.0140.0140.0200.0140.0140.020
prior->YCS_W->process[recruit_W].ycs_values{1995}          -0.410-0.409-0.413-0.409-0.409-0.413
prior->YCS_W->process[recruit_W].ycs_values{1996}          -0.301-0.301-0.306-0.301-0.301-0.306
prior->YCS_W->process[recruit_W].ycs_values{1997}          -0.466-0.467-0.471-0.467-0.467-0.471
prior->YCS_W->process[recruit_W].ycs_values{1998}          -0.322-0.323-0.334-0.323-0.323-0.334
prior->YCS_W->process[recruit_W].ycs_values{1999}          2.0142.0142.0142.0142.0142.014
prior->YCS_W->process[recruit_W].ycs_values{2000}          -0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}          0.8560.8550.8460.8550.8550.846
prior->YCS_W->process[recruit_W].ycs_values{2002}          -0.222-0.222-0.222-0.222-0.222-0.222
prior->YCS_W->process[recruit_W].ycs_values{2003}          -0.612-0.612-0.612-0.612-0.612-0.612
prior->YCS_W->process[recruit_W].ycs_values{2004}          -0.570-0.570-0.571-0.570-0.570-0.571
prior->YCS_W->process[recruit_W].ycs_values{2005}          -0.574-0.574-0.576-0.574-0.574-0.576
prior->YCS_W->process[recruit_W].ycs_values{2006}          -0.280-0.280-0.279-0.280-0.280-0.279
prior->YCS_W->process[recruit_W].ycs_values{2007}          -0.438-0.438-0.436-0.438-0.438-0.436
prior->YCS_W->process[recruit_W].ycs_values{2008}          -0.464-0.464-0.463-0.464-0.464-0.463
prior->YCS_W->process[recruit_W].ycs_values{2009}          -0.514-0.514-0.508-0.514-0.514-0.508
prior->YCS_W->process[recruit_W].ycs_values{2010}          0.0710.0700.0780.0700.0700.078
prior->YCS_W->process[recruit_W].ycs_values{2011}          0.0310.0300.0430.0300.0300.043
prior->YCS_W->process[recruit_W].ycs_values{2012}          -0.050-0.049-0.059-0.049-0.049-0.059
prior->YCS_W->process[recruit_W].ycs_values{2013}          -0.489-0.488-0.490-0.488-0.488-0.490
prior->YCS_W->process[recruit_W].ycs_values{2014}          1.7301.7271.7421.7271.7271.742
prior->YCS_W->process[recruit_W].ycs_values{2015}          1.6811.6841.6871.6841.6841.687
prior->YCS_W->process[recruit_W].ycs_values{2016}          0.3630.3640.3730.3640.3640.373
prior->sel_Whome->selectivity[sel_Whome].v{1}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{2}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{3}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{4}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{5}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{6}                      0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{7}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}                      0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}                      0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}                      0.0000.0000.0000.0000.0000.000
prior->Enspsl_mu->selectivity[Enspsl].mu                        0.0000.0000.0000.0000.0000.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l                   0.0000.0000.0000.0000.0000.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r                   0.0000.0000.0000.0000.0000.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu                        0.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l                   0.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r                   0.0000.0000.0000.0000.0000.000
prior->Espsl_mu->selectivity[Espsl].mu                        0.0000.0000.0000.0000.0000.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l                   0.0000.0000.0000.0000.0000.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r                   0.0000.0000.0000.0000.0000.000
prior->CRsl_mu->selectivity[CRsl].mu                        0.0000.0000.0000.0000.0000.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l                   0.0000.0000.0000.0000.0000.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r                   0.0000.0000.0000.0000.0000.000
prior->SAsl_mu->selectivity[SAsl].mu                        0.0000.0000.0000.0000.0000.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l                   0.0000.0000.0000.0000.0000.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r                   0.0000.0000.0000.0000.0000.000
additional_prior->YCS.eq.16                        0.0000.0000.0000.0000.0000.000
additional_prior->sp.migr                      0.0090.0090.0130.0090.0090.013
jacobian->log_sum_b0                           0.0000.0000.0000.0000.0000.000
total_score                           1946.8101946.8001946.5401946.8001946.8001946.540

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 3.77312e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 6.97859e-07 f = 1946.8"
## [2] "Successful convergence in optimise"             
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## [1] "[IMPORTANT] FMM: Small step size convergence"
## [2] "FMM: Small step size convergence"
## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [4] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [5] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [6] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [7] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [8] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [12] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [13] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [14] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [15] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [4] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [5] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
##  [8] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [9] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [11] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [12] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [13] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [4] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [5] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [6] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [7] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [4] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [5] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
##  [8] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [9] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [11] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [12] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [13] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [4] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [5] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
##  [8] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [9] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [11] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [12] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [13] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## [2] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [3] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [4] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [5] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [6] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [7] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"
## Warning in min(x): no non-missing arguments to min; returning Inf
## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): -0.960603 0.996694"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.933892 0.996693"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.886814 0.999462"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.889925 0.996766"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.925247 0.996779"